Family Description

Applied R&D (AR) consists of target-oriented research either with the goal of solving a particular problem / answering a specific question or for multi-discipline design, development, and implementation of hardware, software, and systems including maintenance support. Supplies techno-economic consulting to clients. AR work is characterised by its detailed and complex nature in order to systematically combine existing knowledge and practices to further developing and incrementally improving products, operational processes, and customer-specific feature development.

Subfamily Description

Software (SWA) comprises the definition, specification, and allocation of requirements from different sources utilising knowledge of systems engineering processes (specification & architecture). Contains processing of use case and feature requirements into conceptual models, operational scenarios, technical requirements, and functional description. Covers specification, design, implementation, and unit testing of Software (e.g. device drivers, microcode, hardware-related software & firmware) according to the requirements and architecture defined in the systems engineering process. Covers establishment and maintenance of Software Configuration Management (SCM) practices into software development projects, continuously building and integrating infrastructure tools and systems.

 

Key Responsibilities:

·       Responsible for requirement analysis, component design based on cloud native principles and leading PaaS platform.

·       Ownership of SW/HW architecture at system component level

·       Work independently, deploying, testing and troubleshooting Cloud platform.

·       Leading the end to end development of Features and EPICs 

·       Coaching SW Engineers and Specification Engineers in design activities

·       Communicate Competence Development needs to Line organization

·       Drive Quality improvement actions, propose and prioritize testability improvements.

Essential skills: 

·       Should have good experience with cloud native architecture, cloud security and cloud patterns

·       Familiarity with design patterns, domain driven design, component-based architecture, and evolutionary architecture

·       Experience with HELM and API Gateway

·       Experience with Container Management, Component Life Cycle Management, Elastic Stack, KeyCloak, Kafka Messaging  

·       Experience with Jenkins, GIT, Helm, Ansible

·       Experience on Linux, Linux Containers, Linux Namespaces, Linux CGroups and large-scale production systems

·       Experience with open source PaaS environments Openshift.

·       Expertise in Perl, Python, scripting.